Results 41 to 50 of about 224,938 (296)
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Short‐range order in 2D transition metal dichalcogenides is revealed as a new design paradigm. Driven by chemical affinity and atomic size, it governs properties across scales. Weak ordering tunes site‐resolved magnetism and d‐band centers, while strong ordering eliminates gap states to open band gaps.
Hanyu Liu +3 more
wiley +1 more source
Warming alters plankton body-size distributions in a large field experiment
The threat of climate change has renewed interest in the responses of communities and ecosystems to warming, with changes in size spectra expected to signify fundamental shifts in the structure and dynamics of these multispecies systems.
Dania Albini +8 more
doaj +1 more source
The objective: to evaluate the prognostic value of Nomogram M for major adverse cardiac events (MACE) and major adverse cardiac and cerebral events (MACCE) after elective cardiac surgery with cardiopulmonary bypass.Subjects and Methods.
L. B. Berikashvili +5 more
doaj +1 more source
This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita +4 more
wiley +1 more source
Mapping global bee research with traits and plant-pollinator interaction networks
Bees sustain key functions in natural ecosystems and agricultural landscapes, yet our understanding of their ecology is typically informed from studies concentrated on a few model taxa. To reveal how this may be biasing our understanding of bee responses
Miles Liam Nesbit +7 more
doaj +1 more source
Molecular dynamics simulations with machine learning potentials, combined with experiments, reveal how interlayer metals govern Li alloying and crystallization in zero‐excess lithium batteries. Mg and Zn promote solid‐solution alloy‐mediated pathways that influence Li diffusion and structural uniformity, while Bi forms ordered intermetallics with more ...
Neubi F. Xavier Jr. +10 more
wiley +1 more source
Background: The atherogenic index of plasma (AIP) is calculated as the logarithm of the triglyceride (TG) to high-density lipoprotein cholesterol (HDL-C) ratio.
Yinxiao Xu +6 more
doaj +1 more source
Rotor Unbalance Estimation with Reduced Number of Sensors
The most common cause of the excessive vibration in rotating machines is the rotor mass unbalance. If a machine vibration due to mass unbalance exceeds the alarm limits, then it may lead to machine failure.
Sami M. Ibn Shamsah, Jyoti K. Sinha
doaj +1 more source
In this paper, we report the preparation of porous silicon powder by two-step Pd-assisted chemical etching with metallurgical grade polycrystalline silicon powder by varying the etching time from 30 to 90 minutes and solution temperature from 25 °C to 75
Volovlikova Olga +3 more
doaj +1 more source

